Visual Intelligence and Transportation Laboratory – VITA

Alexandre Alahi

Alexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.

Taylor Mordan

Taylor Mordan is currently a Post-Doctoral Researcher at École Polytechnique Fédérale de Lausanne (EPFL). Before that, he was a Research Assistant with Thales LAS France, and received the Ph.D. degree in computer science from Sorbonne University in 2018. His research interests include computer vision and deep learning for visual scene understanding, multi-task learning, and applications to perception in autonomous vehicles.

Bastien van Delft

Bastien van Delft is a PhD student in Electrical Engineering at the Visual Intelligence for Transportation lab at EPFL. Bastien’s research interests lie in representation learning and generalization out-of-distribution and he is exploring possible applications to the audio domain. Bastien is particularly excited by learning representations that transfer easily from one context to another, and from one task to another. Before joining the lab, he has been studying Computer Science at Telecom Paristech and Economics at Ecole Polytechnique in France.

Megh Shukla

Megh Shukla is pursuing his Ph.D. in Electrical Engineering at EPFL under the supervision of Prof. Alexandre Alahi, Visual Intelligence for Transportation Lab. He has previously published on topics related to uncertainty estimation, active learning and dimensionality reduction. Megh is excited to make a real-world impact with his research; his previous stint at Mercedes-Benz resulted in publications, patents and a production pipeline in active learning for human pose estimation. Megh’s accolades include the Institute Silver Medal from IIT Bombay, one of India’s premier engineering schools as well as the Young Achiever Award from Mercedes-Benz Research and Development India.